Overcoming the Domain Gap in Neural Action Representations

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Stochastic Nonlinear Optimal Control (SNOC) involves minimizing a cost function that averages out the random uncertainties affecting the dynamics of nonlinear systems. For tractability reasons, this problem is typically addressed by minimizing an empirical ...

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Overcoming the Domain Gap in Neural Action Representations

Chattez avec Graph Search

Optimization frameworks for bespoke sensory encoding in neuroprosthetics

Walking on the Edge: Brain Connectivity Changes in Response to Virtual Height Challenges

A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy

Surface distributions and vertical profiles of trace gases (CO, O3, NO, NO2) in the Arctic wintertime boundary layer using low-cost sensors during ALPACA-2022

Ion Sieving in Two-Dimensional Membranes from First Principles

Combinatorial Aspects of Continuous Optimization: Graph Polynomials and Neural Networks

Masked Diffusion Strategy for Privacy-Preserving Distributed Learning

Learning Hand State Estimation for a Light Exoskeleton

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

How Two-Layer Neural Networks Learn, One (Giant) Step at a Time

Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons

Rehabilitation exoskeleton system with bidirectional virtual reality feedback training strategy

Simultaneous Quantification of Multiple Drugs by Machine Learning on Electrochemical Sensors

Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

In vivo recording of visually evoked potentials with novel full diamond ECoG implants

Spectral tuning and after-effects in neural entrainment

A PAC-Bayesian Framework for Optimal Control with Stability Guarantees

Inverse Graph Learning from Social Interactions